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Wilson Bittencourt, RecruiterRole Overview
Join 1i.app as a Full-Stack Developer, where you'll play a pivotal role in the technical leadership of our innovative multi-AI platform. You'll focus on mobile-first development, backend architecture, and seamless integration of AI technologies, contributing to a unique product that unifies various AI models into one cohesive user experience.
Responsibilities
- Lead the development of mobile applications using React Native and Expo, ensuring a smooth user experience on both iOS and Android platforms.
- Develop and maintain a robust backend using JavaScript and TypeScript with AWS Lambda serverless architecture and Supabase for database management.
- Integrate and optimize AI features, including streaming responses and multi-model orchestration, with a strong focus on LLM/AI technologies.
- Provide technical feedback and collaborate closely with the product designer and founder to translate user needs into technical solutions.
- Continuously refactor and enhance the AI-generated codebase to improve performance and scalability.
Required Skills
- Proven experience with React Native and Expo, having successfully launched apps on App Store and Google Play.
- Strong full-stack development skills with TypeScript, React, and Node.js.
- Demonstrated expertise in LLM/AI integrations, including prompt engineering and multi-model orchestration.
- Experience with Postgres/Supabase and refactoring AI-generated codebases.
- A minimum of 10 years in a technical leadership role, preferably within a startup or small team environment.
Nice to Have
- Proficiency in AWS serverless technologies like Lambda, EventBridge, and S3.
- Experience with RAG/embeddings/vector search.
- Familiarity with AI coding tools such as Claude Code, Cursor, or Copilot as a primary workflow.
- Knowledge of graph databases like Neo4j, aligning with our future roadmap.
Clarify Ambiguities
The role demands a deep passion for AI/LLM technologies. Candidates should actively engage with AI advancements and use AI tools as integral parts of their development process, understanding the nuances of an AI-generated codebase and contributing innovative AI-driven product ideas.